AWS Lambda

S3 event triggers (e.g., for Lambda invocation) may fail silently, requiring developers to implement separate recovery mechanisms. This creates unpredictable behavior in event-driven architectures.

Supabase's reliance on edge functions is insufficient for applications requiring more powerful compute. Developers frequently need to pair Supabase with external serverless platforms like AWS Lambda, fragmenting their architecture.

MCP's Docker-packaged server model doesn't align with serverless architectures used by 95% of Fortune 500 companies. Cold start delays (up to 5 seconds), missing infrastructure templates, logging mismatches, and testing difficulties increase maintenance overhead and costs.

Developers often start Lambda projects without frameworks, forcing manual setup of API Gateway and CloudWatch integrations. As architectures grow, the 50MB default deployment size limit becomes a constraint, requiring webpack bundling per function to stay under limits and improve deployment speed.

Database migration files are placed in frontend repositories by design, creating architectural friction when backends are hosted separately (e.g., AWS Lambda). This leads to unclear ownership of when migrations should run.

Rails' monolithic architecture struggles to fit naturally into modern serverless and Jamstack patterns. Frameworks like Next.js and AWS Lambda are inherently designed for serverless workflows, making Rails appear less adaptable to contemporary architectural trends.